Implementing

Weekly AI Reflection

Students were required to produce videos every week in small groups, including brainstorming, scriptwriting, editing, and recording. To encourage critical reflection on the role of AI in their work, we introduced a simple three-question template Uploaded to Moodle, it asked students to reflect on the following:

• Which stages they used AI for and why
• The most valuable outcomes of using AI
• Any misleading outputs and how they critically addressed them.

Debating the Role of AI in Academia

To extend the discussion, we organized a debate where students were divided into two groups—one supporting the use of AI in academic work, the other opposing it. Each side had five minutes to prepare their arguments, followed by rounds of questions and rebuttals. This led to a rich conversation, with students reflecting on bias in large language models (especially those trained on English content) and reflecting on the ethical and practical implications of AI in learning.

Transcription Tools for Group Discussions

As students began working more intensively in group discussions, we introduced them to Microsoft Teams’ transcription feature. With so many AI tools available for meeting summaries, our goal was to help students streamline collaboration and peer feedback without worrying about manual note-taking. This allowed them to focus more on discussion quality and less on capturing every word.

Introducing the SAMR Model

We discovered the SAMR model developed by the University of Calgary, which outlines four levels of technology integration: Substitution, Augmentation, Modification, and Redefinition. Inspired by this framework and an online reflection template, we designed our own visually appealing version tailored to our course. We added a bonus question: Ask AI what it knows about you.

Text Analysis

In this activity, we gave students two texts and asked them to identify which one was AI-generated and which was written by a human. What they didn’t know was that both texts were AI-generated—one was simply crafted with a more carefully designed prompt to make it sound more “human.” This exercise challenged students to analyze the differences in AI-generated content, determine frequently used words by AI, and reflect on how challenging it is to distinguish between human and AI-generated content.